LncRNA-599554 sponges miR-15a-5p to contribute inductive ability of dermal papilla cells through positive regulation of the expression of Wnt3a in cashmere goat

BACKGROUND: Long non-coding RNAs (lncRNAs), as post-transcriptional regulators, were thought to function in the inductive property of dermal papilla cells (DPCs) in cashmere goat. Previously, lncRNA-599554 was identified in secondary hair follicle (SHF) of cashmere goat, but its functional significance is unknown. RESULTS: In the present investigation, we verified that lncRNA-599554 had significantly higher expression at the anagen dermal papilla of cashmere goat SHF than that at telogen. Based on overexpression and knockdown techniques, we found that lncRNA-599554 contributes the inductive property of DPCs of cashmere goat, which was assessed by detecting the changes in the expression of several typical indictor genes in DPCs including ET-1, SCF, Versican, ALP, Lef1 and Ptc-1. Based on RNA pull-down assay, we verified that lncRNA-599554 directly interacted with chi-miR-15a-5p. Also, we showed that lncRNA-599554 positively regulated the Wnt3a expression in DPCs but which did not appear to involve its modulating of promoter methylation. Based on the use of Dual-luciferase reporter assays, our data indicated that lncRNA-599554 regulated the Wnt3a expression through chi-miR-15a-5p-mediated post-transcriptional level. CONCLUSIONS: We showed that lncRNA-599554 contributes the inductive property of DPCs in cashmere goat which might be achieved through sponging chi-miR-15b-5p to promote the Wnt3a expression. The results from the present investigation provided a novel insight into the functional mechanism of lncRNA-599554 in the SHF regeneration of cashmere goat along with the formation and growth of cashmere fiber.

A meta‑analysis of serum p16 gene promoter methylation for diagnosis of nonsmall cell lung cancer.

OBJECTIVES: To evaluate the diagnostic value of serum p16 gene promoter methylation for diagnosis of nonsmall cell lung cancer (NSCLC). MATERIALS AND METHODS: By searching the databases of PubMed and CNKI, we included all the published articles related serum p16 gene promoter methylation and nonsmall lung cancer. The true positive, false positive, false negative, and true negative data for each included publication were extracted by the reviewers. The diagnostic sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and area under the receiver operating characteristic (ROC) were pooled by MetaDiSc1.4 software. RESULTS: Finally, 13 manuscripts with 1440 subjects were involving in this diagnostic meta‑analysis. The pooled sensitivity and specificity were 0.25 (95% confidence interval [CI]: 0.18–0.32) and 0.95 (95% CI: 0.93–0.97), respectively, with randomized effect model. The pooled positive likelihood ratio and negative likelihood ratio were 5.08 (95% CI: 3.00–8.62) and 0.69 (95% CI: 0.62–0.77) with fixed effect model and randomized effect model, respectively. The diagnostic ROC curve for the included 13 publications was pooled by statistical software MetaDiSc14.0 according to the Bayes theorem. The pooled area under the ROC was 0.72 with its standard error of 0.10. CONCLUSION: According to the published articles, high specificity and low sensitivity were found in this meta‑analysis for the p16 gene promoter methylation in the diagnosis of NSCLC.